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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 1161–1170 of 1729 papers

TitleStatusHype
A Pharmacovigilance Application of Social Media Mining: An Ensemble Approach for Automated Classification and Extraction of Drug Mentions in Tweets—0
Application of Pre-training Models in Named Entity Recognition—0
Apprentissage d'agents conversationnels pour la gestion de relations clients (Training chatbots for customer relation management)—0
Approche supervis\'ee \`a base de cellules LSTM bidirectionnelles pour la d\'esambigu\" lexicale (LSTM Based Supervised Approach for Word Sense Disambiguation)—0
A practical method for occupational skills detection in Vietnamese job listings—0
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition—0
A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets—0
Arabic-English Text Translation Leveraging Hybrid NER—0
Arabic Fine-Grained Entity Recognition—0
Arabic Named Entity Recognition using Word Representations—0
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